Department of Integrated Mathematical Oncology, H. Lee Moffitt Cancer Center, Tampa, Florida.
Wolfson Centre for Mathematical Biology, University of Oxford, Oxford, Oxfordshire, United Kingdom.
Cancer Res. 2021 Feb 15;81(4):1135-1147. doi: 10.1158/0008-5472.CAN-20-0806. Epub 2020 Nov 10.
Adaptive therapy seeks to exploit intratumoral competition to avoid, or at least delay, the emergence of therapy resistance in cancer. Motivated by promising results in prostate cancer, there is growing interest in extending this approach to other neoplasms. As such, it is urgent to understand the characteristics of a cancer that determine whether or not it will respond well to adaptive therapy. A plausible candidate for such a selection criterion is the fitness cost of resistance. In this article, we study a general, but simple, mathematical model to investigate whether the presence of a cost is necessary for adaptive therapy to extend the time to progression beyond that of a standard-of-care continuous therapy. Tumor cells were divided into sensitive and resistant populations and we model their competition using a system of two ordinary differential equations based on the Lotka-Volterra model. For tumors close to their environmental carrying capacity, a cost was not required. However, for tumors growing far from carrying capacity, a cost may be required to see meaningful gains. Notably, it is important to consider cell turnover in the tumor, and we discuss its role in modulating the impact of a resistance cost. To conclude, we present evidence for the predicted cost-turnover interplay in data from 67 patients with prostate cancer undergoing intermittent androgen deprivation therapy. Our work helps to clarify under which circumstances adaptive therapy may be beneficial and suggests that turnover may play an unexpectedly important role in the decision-making process. SIGNIFICANCE: Tumor cell turnover modulates the speed of selection against drug resistance by amplifying the effects of competition and resistance costs; as such, turnover is an important factor in resistance management via adaptive therapy..
适应性治疗旨在利用肿瘤内竞争来避免或至少延迟癌症治疗耐药性的出现。受前列腺癌中令人鼓舞的结果的启发,人们越来越有兴趣将这种方法扩展到其他肿瘤。因此,迫切需要了解决定癌症是否对适应性治疗有良好反应的特征。这种选择标准的一个合理候选者是耐药性的适应成本。在本文中,我们研究了一个通用但简单的数学模型,以研究是否存在成本对于使适应性治疗将进展时间延长超出标准护理连续治疗时间是必要的。肿瘤细胞被分为敏感和耐药群体,我们使用基于Lotka-Volterra 模型的两个常微分方程系统来模拟它们的竞争。对于接近环境承载能力的肿瘤,不需要成本。然而,对于远离承载能力生长的肿瘤,可能需要成本才能看到有意义的收益。值得注意的是,考虑肿瘤中的细胞周转很重要,我们讨论了它在调节耐药性成本影响方面的作用。总之,我们在接受间歇性雄激素剥夺治疗的 67 名前列腺癌患者的数据中提供了预测成本-周转相互作用的证据。我们的工作有助于阐明在何种情况下适应性治疗可能有益,并表明周转在决策过程中可能起着出乎意料的重要作用。意义:肿瘤细胞周转通过放大竞争和耐药性成本的影响来调节对耐药性的选择速度;因此,周转是通过适应性治疗进行耐药性管理的一个重要因素。